Derco Ventas

Dataset statistics

Number of variables	14
Number of observations	1006969
Missing cells	3899090
Missing cells (%)	27.7%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	531.4 MiB
Average record size in memory	553.4 B

Variable types

CAT	9
NUM	4
BOOL	1

Warnings

`0` has a high cardinality: 689577 distinct values	High cardinality
`1` has a high cardinality: 96 distinct values	High cardinality
`2` has a high cardinality: 10762 distinct values	High cardinality
`5` has a high cardinality: 429 distinct values	High cardinality
`9` has a high cardinality: 5946 distinct values	High cardinality
`11` has a high cardinality: 953 distinct values	High cardinality
`12` is highly correlated with `4`	High correlation
`4` is highly correlated with `12`	High correlation
`5` has 432330 (42.9%) missing values	Missing
`6` has 412392 (41.0%) missing values	Missing
`7` has 884361 (87.8%) missing values	Missing
`8` has 809190 (80.4%) missing values	Missing
`9` has 397969 (39.5%) missing values	Missing
`10` has 665817 (66.1%) missing values	Missing
`11` has 12569 (1.2%) missing values	Missing
`12` has 283479 (28.2%) missing values	Missing
`0` is uniformly distributed	Uniform

Reproduction

Analysis started	2020-10-20 16:12:18.573393
Analysis finished	2020-10-20 16:13:29.627599
Duration	1 minute and 11.05 seconds
Software version	pandas-profiling v2.9.0
Download configuration	config.yaml

0
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	689577
Distinct (%)	68.5%
Missing	0
Missing (%)	0.0%
Memory size	7.7 MiB

6EA085C0-77B	8
2ACBAF2D-B98	7
5C630692-5A0	7
FACAEBD8-D25	7
99B5AB0A-552	7
Other values (689572)	1006933

Common Values
Overview

Value	Count	Frequency (%)
6EA085C0-77B	8	< 0.1%
2ACBAF2D-B98	7	< 0.1%
5C630692-5A0	7	< 0.1%
FACAEBD8-D25	7	< 0.1%
99B5AB0A-552	7	< 0.1%
5D80D33A-D38	7	< 0.1%
C16ABB0F-9D8	7	< 0.1%
F16A60BF-766	7	< 0.1%
C9F216D1-E7F	7	< 0.1%
D3C536BB-334	7	< 0.1%
0C9EC72C-E0F	7	< 0.1%
92F48A9A-EDF	7	< 0.1%
C6CFF284-EA4	7	< 0.1%
581F89A8-3F5	7	< 0.1%
EC0D0155-830	7	< 0.1%
3BE8CDFE-C8D	7	< 0.1%
EBC7E41C-A65	7	< 0.1%
D9E4543F-B0F	7	< 0.1%
8A48BCF6-396	7	< 0.1%
5A7E685F-85A	7	< 0.1%
D824AB28-F67	7	< 0.1%
90D63221-F01	7	< 0.1%
DE81176F-2E4	7	< 0.1%
7E22B768-CE6	7	< 0.1%
A55120A0-793	7	< 0.1%
Other values (689552)	1006793	> 99.9%

Frequencies of value counts

Unique

Unique	458912 ?
Unique (%)	45.6%

Histogram of lengths of the category

Length

Max length	12
Median length	12
Mean length	12
Min length	12

Overview of Unicode Properties

Unique unicode characters	17
Unique unicode categories	3 ?
Unique unicode scripts	2 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
-	1006969	8.3%
3	693877	5.7%
5	693626	5.7%
F	693492	5.7%
6	693450	5.7%
D	693202	5.7%
8	693163	5.7%
A	693130	5.7%
0	692807	5.7%
1	692538	5.7%
E	692019	5.7%
2	691893	5.7%
C	691848	5.7%
7	691455	5.7%
B	690785	5.7%
4	689764	5.7%
9	689610	5.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	6922183	57.3%
Uppercase Letter	4154476	34.4%
Dash Punctuation	1006969	8.3%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
3	693877	10.0%
5	693626	10.0%
6	693450	10.0%
8	693163	10.0%
0	692807	10.0%
1	692538	10.0%
2	691893	10.0%
7	691455	10.0%
4	689764	10.0%
9	689610	10.0%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
F	693492	16.7%
D	693202	16.7%
A	693130	16.7%
E	692019	16.7%
C	691848	16.7%
B	690785	16.6%

Most frequent Dash Punctuation characters

Value	Count	Frequency (%)
-	1006969	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	7929152	65.6%
Latin	4154476	34.4%

Most frequent Common characters

Value	Count	Frequency (%)
-	1006969	12.7%
3	693877	8.8%
5	693626	8.7%
6	693450	8.7%
8	693163	8.7%
0	692807	8.7%
1	692538	8.7%
2	691893	8.7%
7	691455	8.7%
4	689764	8.7%
9	689610	8.7%

Most frequent Latin characters

Value	Count	Frequency (%)
F	693492	16.7%
D	693202	16.7%
A	693130	16.7%
E	692019	16.7%
C	691848	16.7%
B	690785	16.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12083628	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
-	1006969	8.3%
3	693877	5.7%
5	693626	5.7%
F	693492	5.7%
6	693450	5.7%
D	693202	5.7%
8	693163	5.7%
A	693130	5.7%
0	692807	5.7%
1	692538	5.7%
E	692019	5.7%
2	691893	5.7%
C	691848	5.7%
7	691455	5.7%
B	690785	5.7%
4	689764	5.7%
9	689610	5.7%

1
Categorical

HIGH CARDINALITY

Distinct	96
Distinct (%)	< 0.1%
Missing	695
Missing (%)	0.1%
Memory size	7.7 MiB

HYUNDAI	106758
NISSAN	83746
KIA MOTORS	76742
CHEVROLET	76139
TOYOTA	76086
Other values (91)	586803

Common Values
Overview

Value	Count	Frequency (%)
HYUNDAI	106758	10.6%
NISSAN	83746	8.3%
KIA MOTORS	76742	7.6%
CHEVROLET	76139	7.6%
TOYOTA	76086	7.6%
SUZUKI	68204	6.8%
FORD	57078	5.7%
JEEP	48456	4.8%
SUBARU	47529	4.7%
MAZDA	36779	3.7%
SSANGYONG	31932	3.2%
MITSUBISHI	24104	2.4%
RENAULT	22002	2.2%
DODGE	21655	2.2%
PEUGEOT	21535	2.1%
GREAT WALL	21226	2.1%
CHERY	20738	2.1%
HONDA	19913	2.0%
MAHINDRA	19047	1.9%
KIA	14221	1.4%
JAC	12049	1.2%
BMW	11523	1.1%
MERCEDES BENZ	8126	0.8%
VOLVO	7635	0.8%
DAIHATSU	7633	0.8%
Other values (71)	65418	6.5%

Frequencies of value counts

Unique

Unique	8 ?
Unique (%)	< 0.1%

Histogram of lengths of the category

Length

Max length	17
Median length	6
Mean length	6.657539606
Min length	2

Overview of Unicode Properties

Unique unicode characters	28
Unique unicode categories	3 ?
Unique unicode scripts	2 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
A	706490	10.5%
O	579562	8.6%
S	502935	7.5%
I	473089	7.1%
N	445067	6.6%
E	445015	6.6%
U	420627	6.3%
T	413662	6.2%
R	373903	5.6%
D	318629	4.8%
H	286277	4.3%
Y	245966	3.7%
M	183319	2.7%
L	176844	2.6%
K	167469	2.5%
G	144157	2.2%
C	134473	2.0%
Z	120760	1.8%
	113863	1.7%
V	106902	1.6%
B	97216	1.5%
P	73896	1.1%
F	68249	1.0%
J	60691	0.9%
W	40764	0.6%
Other values (3)	4111	0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	6587988	98.3%
Space Separator	113863	1.7%
Lowercase Letter	2085	< 0.1%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
A	706490	10.7%
O	579562	8.8%
S	502935	7.6%
I	473089	7.2%
N	445067	6.8%
E	445015	6.8%
U	420627	6.4%
T	413662	6.3%
R	373903	5.7%
D	318629	4.8%
H	286277	4.3%
Y	245966	3.7%
M	183319	2.8%
L	176844	2.7%
K	167469	2.5%
G	144157	2.2%
C	134473	2.0%
Z	120760	1.8%
V	106902	1.6%
B	97216	1.5%
P	73896	1.1%
F	68249	1.0%
J	60691	0.9%
W	40764	0.6%
X	2026	< 0.1%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	113863	100.0%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
n	1390	66.7%
a	695	33.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6590073	98.3%
Common	113863	1.7%

Most frequent Latin characters

Value	Count	Frequency (%)
A	706490	10.7%
O	579562	8.8%
S	502935	7.6%
I	473089	7.2%
N	445067	6.8%
E	445015	6.8%
U	420627	6.4%
T	413662	6.3%
R	373903	5.7%
D	318629	4.8%
H	286277	4.3%
Y	245966	3.7%
M	183319	2.8%
L	176844	2.7%
K	167469	2.5%
G	144157	2.2%
C	134473	2.0%
Z	120760	1.8%
V	106902	1.6%
B	97216	1.5%
P	73896	1.1%
F	68249	1.0%
J	60691	0.9%
W	40764	0.6%
X	2026	< 0.1%
Other values (2)	2085	< 0.1%

Most frequent Common characters

Value	Count	Frequency (%)
	113863	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6703936	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
A	706490	10.5%
O	579562	8.6%
S	502935	7.5%
I	473089	7.1%
N	445067	6.6%
E	445015	6.6%
U	420627	6.3%
T	413662	6.2%
R	373903	5.6%
D	318629	4.8%
H	286277	4.3%
Y	245966	3.7%
M	183319	2.7%
L	176844	2.6%
K	167469	2.5%
G	144157	2.2%
C	134473	2.0%
Z	120760	1.8%
	113863	1.7%
V	106902	1.6%
B	97216	1.5%
P	73896	1.1%
F	68249	1.0%
J	60691	0.9%
W	40764	0.6%
Other values (3)	4111	0.1%

2
Categorical

HIGH CARDINALITY

Distinct	10762
Distinct (%)	1.1%
Missing	288
Missing (%)	< 0.1%
Memory size	7.7 MiB

RAV 4	18619
QASHQAI	17309
NEW TUCSON GL 2.0	13662
TUCSON	12610
SPORTAGE	11480
Other values (10757)	933001

Common Values
Overview

Value	Count	Frequency (%)
RAV 4	18619	1.8%
QASHQAI	17309	1.7%
NEW TUCSON GL 2.0	13662	1.4%
TUCSON	12610	1.3%
SPORTAGE	11480	1.1%
SANTA FE	10741	1.1%
SPORTAGE LX 2.0	10640	1.1%
QASHQAI 1.6	10260	1.0%
RAV 4 2.0	8828	0.9%
GRAND NOMADE	8769	0.9%
SANTA FE GLS 2.4	8503	0.8%
TIGGO 1.6	7318	0.7%
ECOSPORT	7311	0.7%
OPTRA LS 1.6	7073	0.7%
RAV4 2.4	7003	0.7%
CX 5	6944	0.7%
HAVAL H3 LE 2.0	6294	0.6%
X TRAIL	6128	0.6%
CAPTIVA	6026	0.6%
RAV4 2.4 AUT	5781	0.6%
EXPLORER	5640	0.6%
ORLANDO LS 2.0	5544	0.6%
TUCSON GL 2.0	5447	0.5%
SORENTO	5320	0.5%
SCORPIO GLX 2.2	5239	0.5%
Other values (10737)	788192	78.3%

Frequencies of value counts

Unique

Unique	2311 ?
Unique (%)	0.2%

Histogram of lengths of the category

Length

Max length	35
Median length	14
Mean length	13.99234733
Min length	1

Overview of Unicode Properties

Unique unicode characters	42
Unique unicode categories	6 ?
Unique unicode scripts	2 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
	2074552	14.7%
A	1118474	7.9%
T	854160	6.1%
R	781316	5.5%
E	777622	5.5%
O	640434	4.5%
.	630204	4.5%
S	616299	4.4%
L	561192	4.0%
N	549619	3.9%
2	494344	3.5%
4	446654	3.2%
I	424780	3.0%
X	424031	3.0%
U	417860	3.0%
D	365037	2.6%
C	348586	2.5%
G	326576	2.3%
0	291158	2.1%
P	267903	1.9%
V	250491	1.8%
5	168165	1.2%
W	144616	1.0%
1	142078	1.0%
H	140321	1.0%
Other values (17)	833388	5.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	9532015	67.7%
Space Separator	2074552	14.7%
Decimal Number	1851915	13.1%
Other Punctuation	630322	4.5%
Lowercase Letter	864	< 0.1%
Dash Punctuation	192	< 0.1%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
A	1118474	11.7%
T	854160	9.0%
R	781316	8.2%
E	777622	8.2%
O	640434	6.7%
S	616299	6.5%
L	561192	5.9%
N	549619	5.8%
I	424780	4.5%
X	424031	4.4%
U	417860	4.4%
D	365037	3.8%
C	348586	3.7%
G	326576	3.4%
P	267903	2.8%
V	250491	2.6%
W	144616	1.5%
H	140321	1.5%
M	121682	1.3%
F	107827	1.1%
Q	103922	1.1%
K	76916	0.8%
Y	46580	0.5%
B	36295	0.4%
J	23514	0.2%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	2074552	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
2	494344	26.7%
4	446654	24.1%
0	291158	15.7%
5	168165	9.1%
1	142078	7.7%
3	123922	6.7%
6	116432	6.3%
8	34503	1.9%
7	27450	1.5%
9	7209	0.4%

Most frequent Other Punctuation characters

Value	Count	Frequency (%)
.	630204	> 99.9%
,	118	< 0.1%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
n	576	66.7%
a	288	33.3%

Most frequent Dash Punctuation characters

Value	Count	Frequency (%)
-	192	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	9532879	67.7%
Common	4556981	32.3%

Most frequent Latin characters

Value	Count	Frequency (%)
A	1118474	11.7%
T	854160	9.0%
R	781316	8.2%
E	777622	8.2%
O	640434	6.7%
S	616299	6.5%
L	561192	5.9%
N	549619	5.8%
I	424780	4.5%
X	424031	4.4%
U	417860	4.4%
D	365037	3.8%
C	348586	3.7%
G	326576	3.4%
P	267903	2.8%
V	250491	2.6%
W	144616	1.5%
H	140321	1.5%
M	121682	1.3%
F	107827	1.1%
Q	103922	1.1%
K	76916	0.8%
Y	46580	0.5%
B	36295	0.4%
J	23514	0.2%
Other values (3)	6826	0.1%

Most frequent Common characters

Value	Count	Frequency (%)
	2074552	45.5%
.	630204	13.8%
2	494344	10.8%
4	446654	9.8%
0	291158	6.4%
5	168165	3.7%
1	142078	3.1%
3	123922	2.7%
6	116432	2.6%
8	34503	0.8%
7	27450	0.6%
9	7209	0.2%
-	192	< 0.1%
,	118	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	14089860	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
	2074552	14.7%
A	1118474	7.9%
T	854160	6.1%
R	781316	5.5%
E	777622	5.5%
O	640434	4.5%
.	630204	4.5%
S	616299	4.4%
L	561192	4.0%
N	549619	3.9%
2	494344	3.5%
4	446654	3.2%
I	424780	3.0%
X	424031	3.0%
U	417860	3.0%
D	365037	2.6%
C	348586	2.5%
G	326576	2.3%
0	291158	2.1%
P	267903	1.9%
V	250491	1.8%
5	168165	1.2%
W	144616	1.0%
1	142078	1.0%
H	140321	1.0%
Other values (17)	833388	5.9%

3
Real number (ℝ_≥0)

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2013.540322
Minimum	2010
Maximum	2018
Zeros	0
Zeros (%)	0.0%
Memory size	7.7 MiB

Quantile statistics

Minimum	2010
5-th percentile	2010
Q1	2012
median	2013
Q3	2015
95-th percentile	2017
Maximum	2018
Range	8
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.352165235
Coefficient of variation (CV)	0.001168173892
Kurtosis	-1.063867656
Mean	2013.540322
Median Absolute Deviation (MAD)	2
Skewness	0.1871796021
Sum	2027572685
Variance	5.532681292
Monotocity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
2013	144099	14.3%
2011	136796	13.6%
2012	133456	13.3%
2014	133435	13.3%
2017	110632	11.0%
2010	108250	10.8%
2015	103970	10.3%
2016	94836	9.4%
2018	41495	4.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2010	108250	10.8%
2011	136796	13.6%
2012	133456	13.3%
2013	144099	14.3%
2014	133435	13.3%
2015	103970	10.3%
2016	94836	9.4%
2017	110632	11.0%
2018	41495	4.1%

Value	Count	Frequency (%)
2018	41495	4.1%
2017	110632	11.0%
2016	94836	9.4%
2015	103970	10.3%
2014	133435	13.3%
2013	144099	14.3%
2012	133456	13.3%
2011	136796	13.6%
2010	108250	10.8%

4
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	754428
Distinct (%)	74.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	56500042.79
Minimum	0
Maximum	329820688
Zeros	1526
Zeros (%)	0.2%
Memory size	7.7 MiB

Quantile statistics

Minimum	0
5-th percentile	18052498.6
Q1	29023307
median	40627585
Q3	50742038
95-th percentile	253184865.8
Maximum	329820688
Range	329820688
Interquartile range (IQR)	21718731

Descriptive statistics

Standard deviation	64398525.67
Coefficient of variation (CV)	1.139796051
Kurtosis	8.169974409
Mean	56500042.79
Median Absolute Deviation (MAD)	10764804
Skewness	3.055284087
Sum	5.689379158e+13
Variance	4.147170108e+15
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
321224931	2916	0.3%
263754995	2767	0.3%
321330898	1632	0.2%
321231554	1541	0.2%
0	1526	0.2%
257385565	1354	0.1%
263484382	1107	0.1%
321476602	900	0.1%
321317652	870	0.1%
200363239	842	0.1%
319590063	795	0.1%
311744219	668	0.1%
320148011	622	0.1%
280835707	600	0.1%
264431625	579	0.1%
274836996	574	0.1%
320975015	569	0.1%
251782759	556	0.1%
321287849	530	0.1%
320941139	500	< 0.1%
320552406	459	< 0.1%
303005274	451	< 0.1%
307664499	440	< 0.1%
321248111	388	< 0.1%
282056974	387	< 0.1%
Other values (754403)	983396	97.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1526	0.2%
778	1	< 0.1%
56672	2	< 0.1%
74789	1	< 0.1%
118765	2	< 0.1%
150055	1	< 0.1%
300385	1	< 0.1%
343888	2	< 0.1%
547391	1	< 0.1%
737945	1	< 0.1%

Value	Count	Frequency (%)
329820688	1	< 0.1%
329819364	1	< 0.1%
329818834	23	< 0.1%
329818668	23	< 0.1%
329817608	1	< 0.1%
329817145	6	< 0.1%
329817112	1	< 0.1%
329817079	1	< 0.1%
329816449	3	< 0.1%
329815920	1	< 0.1%

5
Categorical

HIGH CARDINALITY
MISSING

Distinct	429
Distinct (%)	0.1%
Missing	432330
Missing (%)	42.9%
Memory size	7.7 MiB

LAS CONDES	45799
	33432
SANTIAGO	22283
PROVIDENCIA	20560
MAIPU	18269
Other values (424)	434296

Common Values
Overview

Value	Count	Frequency (%)
LAS CONDES	45799	4.5%
	33432	3.3%
SANTIAGO	22283	2.2%
PROVIDENCIA	20560	2.0%
MAIPU	18269	1.8%
ANTOFAGASTA	17626	1.8%
VITACURA	16752	1.7%
NUNOA	16686	1.7%
LA FLORIDA	16344	1.6%
VINA DEL MAR	14235	1.4%
PUENTE ALTO	13727	1.4%
LO BARNECHEA	13214	1.3%
CONCEPCION	11870	1.2%
CALAMA	9596	1.0%
LA REINA	9332	0.9%
PENALOLEN	9256	0.9%
TEMUCO	8943	0.9%
RANCAGUA	8857	0.9%
LA SERENA	7991	0.8%
PUDAHUEL	7015	0.7%
VALPARAISO	6699	0.7%
SAN BERNARDO	6483	0.6%
QUILICURA	6483	0.6%
COPIAPO	6242	0.6%
SAN MIGUEL	5778	0.6%
Other values (404)	221167	22.0%
(Missing)	432330	42.9%

Frequencies of value counts

Unique

Unique	39 ?
Unique (%)	< 0.1%

Histogram of lengths of the category

Length

Max length	20
Median length	5
Mean length	6.168077667
Min length	1

Overview of Unicode Properties

Unique unicode characters	29
Unique unicode categories	5 ?
Unique unicode scripts	2 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
n	864660	13.9%
A	803936	12.9%
a	432330	7.0%
N	426983	6.9%
O	388971	6.3%
E	381251	6.1%
L	360430	5.8%
I	310051	5.0%
C	293013	4.7%
	279232	4.5%
R	246859	4.0%
S	232314	3.7%
U	223487	3.6%
T	194419	3.1%
P	158862	2.6%
D	149999	2.4%
M	97393	1.6%
V	81548	1.3%
G	78143	1.3%
H	60569	1.0%
Q	44346	0.7%
B	41127	0.7%
F	40687	0.7%
J	9070	0.1%
Z	6006	0.1%
Other values (4)	5377	0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	4634640	74.6%
Lowercase Letter	1296990	20.9%
Space Separator	279232	4.5%
Dash Punctuation	199	< 0.1%
Other Punctuation	2	< 0.1%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
A	803936	17.3%
N	426983	9.2%
O	388971	8.4%
E	381251	8.2%
L	360430	7.8%
I	310051	6.7%
C	293013	6.3%
R	246859	5.3%
S	232314	5.0%
U	223487	4.8%
T	194419	4.2%
P	158862	3.4%
D	149999	3.2%
M	97393	2.1%
V	81548	1.8%
G	78143	1.7%
H	60569	1.3%
Q	44346	1.0%
B	41127	0.9%
F	40687	0.9%
J	9070	0.2%
Z	6006	0.1%
Y	5170	0.1%
K	6	< 0.1%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	279232	100.0%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
n	864660	66.7%
a	432330	33.3%

Most frequent Dash Punctuation characters

Value	Count	Frequency (%)
-	199	100.0%

Most frequent Other Punctuation characters

Value	Count	Frequency (%)
"	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5931630	95.5%
Common	279433	4.5%

Most frequent Latin characters

Value	Count	Frequency (%)
n	864660	14.6%
A	803936	13.6%
a	432330	7.3%
N	426983	7.2%
O	388971	6.6%
E	381251	6.4%
L	360430	6.1%
I	310051	5.2%
C	293013	4.9%
R	246859	4.2%
S	232314	3.9%
U	223487	3.8%
T	194419	3.3%
P	158862	2.7%
D	149999	2.5%
M	97393	1.6%
V	81548	1.4%
G	78143	1.3%
H	60569	1.0%
Q	44346	0.7%
B	41127	0.7%
F	40687	0.7%
J	9070	0.2%
Z	6006	0.1%
Y	5170	0.1%

Most frequent Common characters

Value	Count	Frequency (%)
	279232	99.9%
-	199	0.1%
"	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6211063	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
n	864660	13.9%
A	803936	12.9%
a	432330	7.0%
N	426983	6.9%
O	388971	6.3%
E	381251	6.1%
L	360430	5.8%
I	310051	5.0%
C	293013	4.7%
	279232	4.5%
R	246859	4.0%
S	232314	3.7%
U	223487	3.6%
T	194419	3.1%
P	158862	2.6%
D	149999	2.4%
M	97393	1.6%
V	81548	1.3%
G	78143	1.3%
H	60569	1.0%
Q	44346	0.7%
B	41127	0.7%
F	40687	0.7%
J	9070	0.1%
Z	6006	0.1%
Other values (4)	5377	0.1%

6
Categorical

MISSING

Distinct	41
Distinct (%)	< 0.1%
Missing	412392
Missing (%)	41.0%
Memory size	7.7 MiB

13	152997
METROPOLITANA DE SANTIAGO	149221
	33432
DE VALPARAISO	22367
DEL BIO BIO	21470
Other values (36)	215090

Common Values
Overview

Value	Count	Frequency (%)
13	152997	15.2%
METROPOLITANA DE SANTIAGO	149221	14.8%
	33432	3.3%
DE VALPARAISO	22367	2.2%
DEL BIO BIO	21470	2.1%
0	19951	2.0%
DE ANTOFAGASTA	15140	1.5%
5	13791	1.4%
05	12421	1.2%
8	12112	1.2%
08	12007	1.2%
DEL LIBERTADOR BERNARDO OHIGGINS	8919	0.9%
2	8690	0.9%
DE COQUIMBO	8575	0.9%
10	8323	0.8%
DE LA ARAUCANIA	7083	0.7%
DEL MAULE	6797	0.7%
DE LOS LAGOS	6532	0.6%
02	5424	0.5%
DE ATACAMA	5113	0.5%
4	5104	0.5%
06	5085	0.5%
6	5005	0.5%
09	4867	0.5%
7	4495	0.4%
Other values (16)	39656	3.9%
(Missing)	412392	41.0%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	33
Median length	3
Mean length	7.089148723
Min length	1

Overview of Unicode Properties

Unique unicode characters	36
Unique unicode categories	4 ?
Unique unicode scripts	2 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
A	850533	11.9%
n	824784	11.6%
O	593063	8.3%
	512952	7.2%
T	501276	7.0%
E	444171	6.2%
I	417523	5.8%
a	412392	5.8%
N	350029	4.9%
D	279557	3.9%
L	258086	3.6%
R	226777	3.2%
S	219063	3.1%
G	192205	2.7%
P	175589	2.5%
1	173917	2.4%
M	172356	2.4%
3	157879	2.2%
0	79926	1.1%
B	70177	1.0%
C	32000	0.4%
5	27493	0.4%
8	24119	0.3%
U	22455	0.3%
V	22367	0.3%
Other values (11)	97864	1.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	4866809	68.2%
Lowercase Letter	1238280	17.3%
Decimal Number	520512	7.3%
Space Separator	512952	7.2%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
1	173917	33.4%
3	157879	30.3%
0	79926	15.4%
5	27493	5.3%
8	24119	4.6%
2	17332	3.3%
4	11985	2.3%
6	10090	1.9%
9	9024	1.7%
7	8747	1.7%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
A	850533	17.5%
O	593063	12.2%
T	501276	10.3%
E	444171	9.1%
I	417523	8.6%
N	350029	7.2%
D	279557	5.7%
L	258086	5.3%
R	226777	4.7%
S	219063	4.5%
G	192205	3.9%
P	175589	3.6%
M	172356	3.5%
B	70177	1.4%
C	32000	0.7%
U	22455	0.5%
V	22367	0.5%
F	15140	0.3%
H	11569	0.2%
Q	8575	0.2%
Y	3474	0.1%
Z	824	< 0.1%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	512952	100.0%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
n	824784	66.6%
a	412392	33.3%
y	1104	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6105089	85.5%
Common	1033464	14.5%

Most frequent Common characters

Value	Count	Frequency (%)
	512952	49.6%
1	173917	16.8%
3	157879	15.3%
0	79926	7.7%
5	27493	2.7%
8	24119	2.3%
2	17332	1.7%
4	11985	1.2%
6	10090	1.0%
9	9024	0.9%
7	8747	0.8%

Most frequent Latin characters

Value	Count	Frequency (%)
A	850533	13.9%
n	824784	13.5%
O	593063	9.7%
T	501276	8.2%
E	444171	7.3%
I	417523	6.8%
a	412392	6.8%
N	350029	5.7%
D	279557	4.6%
L	258086	4.2%
R	226777	3.7%
S	219063	3.6%
G	192205	3.1%
P	175589	2.9%
M	172356	2.8%
B	70177	1.1%
C	32000	0.5%
U	22455	0.4%
V	22367	0.4%
F	15140	0.2%
H	11569	0.2%
Q	8575	0.1%
Y	3474	0.1%
y	1104	< 0.1%
Z	824	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7138553	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
A	850533	11.9%
n	824784	11.6%
O	593063	8.3%
	512952	7.2%
T	501276	7.0%
E	444171	6.2%
I	417523	5.8%
a	412392	5.8%
N	350029	4.9%
D	279557	3.9%
L	258086	3.6%
R	226777	3.2%
S	219063	3.1%
G	192205	2.7%
P	175589	2.5%
1	173917	2.4%
M	172356	2.4%
3	157879	2.2%
0	79926	1.1%
B	70177	1.0%
C	32000	0.4%
5	27493	0.4%
8	24119	0.3%
U	22455	0.3%
V	22367	0.3%
Other values (11)	97864	1.4%

7
Categorical

MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	884361
Missing (%)	87.8%
Memory size	7.7 MiB

M	67439
F	55169

Value	Count	Frequency (%)
M	67439	6.7%
F	55169	5.5%
(Missing)	884361	87.8%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	3
Median length	3
Mean length	2.756481083
Min length	1

Overview of Unicode Properties

Unique unicode characters	4
Unique unicode categories	2 ?
Unique unicode scripts	1 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
n	1768722	63.7%
a	884361	31.9%
M	67439	2.4%
F	55169	2.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2653083	95.6%
Uppercase Letter	122608	4.4%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
M	67439	55.0%
F	55169	45.0%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
n	1768722	66.7%
a	884361	33.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2775691	100.0%

Most frequent Latin characters

Value	Count	Frequency (%)
n	1768722	63.7%
a	884361	31.9%
M	67439	2.4%
F	55169	2.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2775691	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
n	1768722	63.7%
a	884361	31.9%
M	67439	2.4%
F	55169	2.0%

8
Boolean

MISSING

Distinct	1
Distinct (%)	< 0.1%
Missing	809190
Missing (%)	80.4%
Memory size	7.7 MiB

0	197779
(Missing)	809190

Common Values
Chart

Value	Count	Frequency (%)
0	197779	19.6%
(Missing)	809190	80.4%

9
Categorical

HIGH CARDINALITY
MISSING

Distinct	5946
Distinct (%)	1.0%
Missing	397969
Missing (%)	39.5%
Memory size	7.7 MiB

0	270604
10601111,0	3796
11947500,0	3289
7390000	2540
13473846,0	2344
Other values (5941)	326427

Common Values
Overview

Value	Count	Frequency (%)
0	270604	26.9%
10601111,0	3796	0.4%
11947500,0	3289	0.3%
7390000	2540	0.3%
13473846,0	2344	0.2%
5730000	2324	0.2%
10665000,0	2076	0.2%
10070000,0	2057	0.2%
12154444,0	2012	0.2%
12920000	1810	0.2%
5310000	1738	0.2%
10440000	1734	0.2%
16897308,0	1563	0.2%
8030000	1511	0.2%
9760000	1413	0.1%
9100000	1389	0.1%
10490000	1385	0.1%
9440000	1379	0.1%
7940000	1279	0.1%
7601667,0	1233	0.1%
6470000	1205	0.1%
12391667,0	1183	0.1%
7910000	1161	0.1%
10230000,0	1158	0.1%
11176000	1111	0.1%
Other values (5921)	295706	29.4%
(Missing)	397969	39.5%

Frequencies of value counts

Unique

Unique	820 ?
Unique (%)	0.1%

Histogram of lengths of the category

Length

Max length	11
Median length	3
Mean length	4.24823505
Min length	1

Overview of Unicode Properties

Unique unicode characters	14
Unique unicode categories	4 ?
Unique unicode scripts	2 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
0	1417984	33.1%
n	795938	18.6%
a	397969	9.3%
1	271907	6.4%
6	200200	4.7%
5	171167	4.0%
7	157927	3.7%
3	151135	3.5%
9	134453	3.1%
8	131615	3.1%
4	131589	3.1%
2	121113	2.8%
	97422	2.3%
,	97422	2.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2889090	67.5%
Lowercase Letter	1193907	27.9%
Space Separator	97422	2.3%
Other Punctuation	97422	2.3%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	97422	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
0	1417984	49.1%
1	271907	9.4%
6	200200	6.9%
5	171167	5.9%
7	157927	5.5%
3	151135	5.2%
9	134453	4.7%
8	131615	4.6%
4	131589	4.6%
2	121113	4.2%

Most frequent Other Punctuation characters

Value	Count	Frequency (%)
,	97422	100.0%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
n	795938	66.7%
a	397969	33.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	3083934	72.1%
Latin	1193907	27.9%

Most frequent Common characters

Value	Count	Frequency (%)
0	1417984	46.0%
1	271907	8.8%
6	200200	6.5%
5	171167	5.6%
7	157927	5.1%
3	151135	4.9%
9	134453	4.4%
8	131615	4.3%
4	131589	4.3%
2	121113	3.9%
	97422	3.2%
,	97422	3.2%

Most frequent Latin characters

Value	Count	Frequency (%)
n	795938	66.7%
a	397969	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4277841	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
0	1417984	33.1%
n	795938	18.6%
a	397969	9.3%
1	271907	6.4%
6	200200	4.7%
5	171167	4.0%
7	157927	3.7%
3	151135	3.5%
9	134453	3.1%
8	131615	3.1%
4	131589	3.1%
2	121113	2.8%
	97422	2.3%
,	97422	2.3%

10
Real number (ℝ_≥0)

MISSING

Distinct	2363
Distinct (%)	0.7%
Missing	665817
Missing (%)	66.1%
Infinite	0
Infinite (%)	0.0%

Mean	20151803.6
Minimum	20091015
Maximum	20180111
Zeros	0
Zeros (%)	0.0%
Memory size	7.7 MiB

Quantile statistics

Minimum	20091015
5-th percentile	20120613
Q1	20140704
median	20151202
Q3	20170116
95-th percentile	20171107
Maximum	20180111
Range	89096
Interquartile range (IQR)	29412

Descriptive statistics

Standard deviation	16814.17847
Coefficient of variation (CV)	0.0008343758607
Kurtosis	-0.3480813467
Mean	20151803.6
Median Absolute Deviation (MAD)	10596
Skewness	-0.6546990626
Sum	6.874828101e+12
Variance	282716597.7
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20151109	710	0.1%
20151110	685	0.1%
20151111	682	0.1%
20151116	667	0.1%
20151113	612	0.1%
20151112	592	0.1%
20151117	544	0.1%
20171107	504	0.1%
20161227	501	< 0.1%
20171206	500	< 0.1%
20151202	499	< 0.1%
20151119	491	< 0.1%
20171213	485	< 0.1%
20171221	481	< 0.1%
20151123	475	< 0.1%
20161229	475	< 0.1%
20171205	471	< 0.1%
20151118	469	< 0.1%
20171026	456	< 0.1%
20171025	452	< 0.1%
20171220	450	< 0.1%
20161230	448	< 0.1%
20171219	445	< 0.1%
20171031	445	< 0.1%
20151120	442	< 0.1%
Other values (2338)	328171	32.6%
(Missing)	665817	66.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
20091015	1	< 0.1%
20091028	1	< 0.1%
20091102	1	< 0.1%
20091119	1	< 0.1%
20091120	2	< 0.1%
20091126	2	< 0.1%
20091127	1	< 0.1%
20091130	2	< 0.1%
20091210	1	< 0.1%
20091211	1	< 0.1%

Value	Count	Frequency (%)
20180111	224	< 0.1%
20180110	249	< 0.1%
20180109	296	< 0.1%
20180108	318	< 0.1%
20180106	30	< 0.1%
20180105	248	< 0.1%
20180104	215	< 0.1%
20180103	210	< 0.1%
20180102	166	< 0.1%
20171229	238	< 0.1%

11
Categorical

HIGH CARDINALITY
MISSING

Distinct	953
Distinct (%)	0.1%
Missing	12569
Missing (%)	1.2%
Memory size	7.7 MiB

GRIS	231524
BLANCO	213744
PLATEADO	205961
NEGRO	123425
ROJO	63273
Other values (948)	156473

Common Values
Overview

Value	Count	Frequency (%)
GRIS	231524	23.0%
BLANCO	213744	21.2%
PLATEADO	205961	20.5%
NEGRO	123425	12.3%
ROJO	63273	6.3%
AZUL	44602	4.4%
BEIGE	17273	1.7%
CAFE	11008	1.1%
DORADO	10940	1.1%
VERDE	7567	0.8%
NARANJO	4887	0.5%
CELESTE	4039	0.4%
GRIS GRAFITO	2876	0.3%
GRIS OSCURO METAL	2475	0.2%
PLATEADO PLATA	2312	0.2%
GRIS OSCURO	2214	0.2%
GRIS PLATA	2171	0.2%
BLANCO PERLA	2103	0.2%
PLATEADO METALICO	1959	0.2%
NEGRO METALICO	1913	0.2%
BLANCO PERLADO	1703	0.2%
PLATEADO PLATA ME	1665	0.2%
PLATEADO PLATA BR	1406	0.1%
GRIS METALICO	980	0.1%
GRIS ACERO	977	0.1%
Other values (928)	31403	3.1%
(Missing)	12569	1.2%

Frequencies of value counts

Unique

Unique	377 ?
Unique (%)	< 0.1%

Histogram of lengths of the category

Length

Max length	20
Median length	5
Mean length	5.969200641
Min length	3

Overview of Unicode Properties

Unique unicode characters	30
Unique unicode categories	4 ?
Unique unicode scripts	2 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
A	804880	13.4%
O	774041	12.9%
L	532737	8.9%
R	500855	8.3%
E	460429	7.7%
G	401684	6.7%
N	374624	6.2%
I	296199	4.9%
S	264809	4.4%
C	261388	4.3%
T	259362	4.3%
D	256088	4.3%
B	246074	4.1%
P	236307	3.9%
J	71778	1.2%
	71063	1.2%
U	56500	0.9%
Z	48707	0.8%
n	25138	0.4%
M	21834	0.4%
F	16371	0.3%
a	12569	0.2%
V	12059	0.2%
H	2233	< 0.1%
Y	1235	< 0.1%
Other values (5)	1836	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	5902007	98.2%
Space Separator	71063	1.2%
Lowercase Letter	37707	0.6%
Other Punctuation	23	< 0.1%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
A	804880	13.6%
O	774041	13.1%
L	532737	9.0%
R	500855	8.5%
E	460429	7.8%
G	401684	6.8%
N	374624	6.3%
I	296199	5.0%
S	264809	4.5%
C	261388	4.4%
T	259362	4.4%
D	256088	4.3%
B	246074	4.2%
P	236307	4.0%
J	71778	1.2%
U	56500	1.0%
Z	48707	0.8%
M	21834	0.4%
F	16371	0.3%
V	12059	0.2%
H	2233	< 0.1%
Y	1235	< 0.1%
X	925	< 0.1%
K	495	< 0.1%
W	382	< 0.1%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
n	25138	66.7%
a	12569	33.3%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	71063	100.0%

Most frequent Other Punctuation characters

Value	Count	Frequency (%)
@	23	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5939714	98.8%
Common	71086	1.2%

Most frequent Latin characters

Value	Count	Frequency (%)
A	804880	13.6%
O	774041	13.0%
L	532737	9.0%
R	500855	8.4%
E	460429	7.8%
G	401684	6.8%
N	374624	6.3%
I	296199	5.0%
S	264809	4.5%
C	261388	4.4%
T	259362	4.4%
D	256088	4.3%
B	246074	4.1%
P	236307	4.0%
J	71778	1.2%
U	56500	1.0%
Z	48707	0.8%
n	25138	0.4%
M	21834	0.4%
F	16371	0.3%
a	12569	0.2%
V	12059	0.2%
H	2233	< 0.1%
Y	1235	< 0.1%
X	925	< 0.1%
Other values (3)	888	< 0.1%

Most frequent Common characters

Value	Count	Frequency (%)
	71063	> 99.9%
@	23	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6010800	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
A	804880	13.4%
O	774041	12.9%
L	532737	8.9%
R	500855	8.3%
E	460429	7.7%
G	401684	6.7%
N	374624	6.2%
I	296199	4.9%
S	264809	4.4%
C	261388	4.3%
T	259362	4.3%
D	256088	4.3%
B	246074	4.1%
P	236307	3.9%
J	71778	1.2%
	71063	1.2%
U	56500	0.9%
Z	48707	0.8%
n	25138	0.4%
M	21834	0.4%
F	16371	0.3%
a	12569	0.2%
V	12059	0.2%
H	2233	< 0.1%
Y	1235	< 0.1%
Other values (5)	1836	< 0.1%

12
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	88
Distinct (%)	< 0.1%
Missing	283479
Missing (%)	28.2%
Infinite	0
Infinite (%)	0.0%

Mean	48.93003912
Minimum	3
Maximum	134
Zeros	0
Zeros (%)	0.0%
Memory size	7.7 MiB

Quantile statistics

Minimum	3
5-th percentile	31
Q1	39
median	48
Q3	58
95-th percentile	71
Maximum	134
Range	131
Interquartile range (IQR)	19

Descriptive statistics

Standard deviation	12.58779248
Coefficient of variation (CV)	0.2572610344
Kurtosis	-0.4217535604
Mean	48.93003912
Median Absolute Deviation (MAD)	9
Skewness	0.3395678924
Sum	35400394
Variance	158.4525195
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
44	22234	2.2%
43	22047	2.2%
42	21883	2.2%
39	21374	2.1%
41	21145	2.1%
49	20553	2.0%
48	20462	2.0%
45	20452	2.0%
40	20350	2.0%
38	19690	2.0%
47	19668	2.0%
46	19338	1.9%
50	19139	1.9%
51	18858	1.9%
52	18543	1.8%
37	18218	1.8%
35	17879	1.8%
53	17847	1.8%
54	17748	1.8%
55	17400	1.7%
36	17172	1.7%
56	16983	1.7%
34	16944	1.7%
33	15263	1.5%
57	15191	1.5%
Other values (63)	247109	24.5%
(Missing)	283479	28.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3	84	< 0.1%
16	1	< 0.1%
17	9	< 0.1%
18	196	< 0.1%
19	536	0.1%
20	774	0.1%
21	829	0.1%
22	712	0.1%
23	935	0.1%
24	522	0.1%

Value	Count	Frequency (%)
134	1	< 0.1%
103	1	< 0.1%
100	2	< 0.1%
99	4	< 0.1%
98	6	< 0.1%
97	8	< 0.1%
96	10	< 0.1%
95	12	< 0.1%
94	21	< 0.1%
93	51	< 0.1%

13
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.7 MiB

S	688992
N	317977

Value	Count	Frequency (%)
S	688992	68.4%
N	317977	31.6%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	2
Unique unicode categories	1 ?
Unique unicode scripts	1 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
S	688992	68.4%
N	317977	31.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1006969	100.0%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
S	688992	68.4%
N	317977	31.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1006969	100.0%

Most frequent Latin characters

Value	Count	Frequency (%)
S	688992	68.4%
N	317977	31.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1006969	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
S	688992	68.4%
N	317977	31.6%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

First rows

	0	1	2	3	4	5	6	7	8	9	10	11	12	13
0	393A4B4C-085	TOYOTA	RAV 4	2015	50838335	TEMUCO	09	M	NaN	11947500,0	NaN	BLANCO	NaN	N
1	B1F3DB7E-F67	MAZDA	CX 5	2016	46322649	VILLA ALEMANA	05	M	NaN	NaN	NaN	NEGRO	38.0	S
2	F6DBB2E6-A76	GREAT WALL	HAVAL NEW H3 2.0	2014	36226810	ANTOFAGASTA	DE ANTOFAGASTA	NaN	NaN	NaN	NaN	NEGRO	49.0	S
3	EBCF63CD-99D	JEEP	COMPASS SPORT 2.4	2013	43482783	NaN	NaN	NaN	NaN	NaN	20160418.0	GRIS	40.0	S
4	FF38B368-B0F	SUBARU	FORESTER 2.0	2017	25657273	NaN	NaN	NaN	NaN	NaN	NaN	GRIS	62.0	S
5	BC985B84-711	KIA MOTORS	NEW SORENTO EX 2.2	2013	14210133	CONCON	5	NaN	NaN	0	NaN	BLANCO	64.0	S
6	D88B232D-2CB	HONDA	PILOT EXL 4X4 3.5 AUT	2014	21198752	RANCAGUA	DEL LIBERTADOR BERNARDO OHIGGINS	NaN	NaN	NaN	NaN	CAFE	63.0	S
7	AC1A5003-5B6	KIA MOTORS	NEW CARENS LX 1.7	2014	24699069	PROVIDENCIA	METROPOLITANA DE SANTIAGO	NaN	NaN	NaN	20141205.0	BLANCO	61.0	N
8	A9F4BE58-817	DODGE	DURANGO SLT 4X4 5.7	2011	32883814	QUILICURA	METROPOLITANA DE SANTIAGO	NaN	0.0	0	20120215.0	BLANCO	50.0	N
9	CA31F279-2F4	MERCEDES BENZ	ML350 BLUE TEC	2014	23348761	LOS ANGELES	DEL BIO BIO	NaN	NaN	NaN	20140801.0	GRIS	56.0	N

Last rows

	0	1	2	3	4	5	6	7	8	9	10	11	12	13
1006959	B9F82C01-701	KIA MOTORS	SORENTO EX 2.4 AT	2014	44517740	QUILICURA	METROPOLITANA DE SANTIAGO	NaN	NaN	NaN	NaN	PLATEADO	40.0	S
1006960	05CEFF93-C13	GREAT WALL	HAVAL H3 LE 2.0	2013	44315049	CHIGUAYANTE	8	NaN	NaN	9185400	NaN	BLANCO TITANIO	NaN	N
1006961	F1EFF2AB-8AC	TOYOTA	RAV 4 4X4 2.4	2010	34484279	NaN	NaN	NaN	NaN	NaN	NaN	NaN	50.0	N
1006962	F1EFF2AB-8AC	TOYOTA	RAV 4 4X4 2.4	2010	34970491	QUINTA NORMAL	METROPOLITANA DE SANTIAGO	NaN	0.0	0	20111124.0	BLANCO	49.0	N
1006963	EAC42959-3FC	TOYOTA	RAV 4 4X4 2.0	2017	321224931	NaN	NaN	NaN	NaN	NaN	NaN	PLATEADO	NaN	S
1006964	3C64A6BD-180	CHEVROLET	TRACKER LT 1.8	2016	43286592	NaN	NaN	NaN	NaN	11176000	NaN	AZUL	NaN	S
1006965	CAF45D98-12D	RENAULT	DUSTER	2016	321224931	VICUNA	04	NaN	NaN	NaN	NaN	GRIS	NaN	S
1006966	684771E1-3B8	HONDA	CRV EX 4X4 2.4 AUT	2011	43881138	MAIPU	METROPOLITANA DE SANTIAGO	NaN	0.0	11930000	NaN	BLANCO	40.0	S
1006967	B150A94C-313	TOYOTA	RAV4 2.4 AUT	2010	26216251	LAS CONDES	13	NaN	NaN	7290000	20130213.0	BEIGE	58.0	S
1006968	784B181C-F6B	SSANGYONG	REXTON 2.7	2011	39201551	NUNOA	METROPOLITANA DE SANTIAGO	NaN	0.0	0	NaN	PLATEADO	45.0	S

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most frequent Uppercase Letter characters

Most frequent Dash Punctuation characters

Most occurring scripts

Most frequent Common characters

Most frequent Latin characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Uppercase Letter characters

Most frequent Space Separator characters

Most frequent Lowercase Letter characters

Most occurring scripts

Most frequent Latin characters

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Uppercase Letter characters

Most frequent Space Separator characters

Most frequent Decimal Number characters

Most frequent Other Punctuation characters

Most frequent Lowercase Letter characters

Most frequent Dash Punctuation characters

Most occurring scripts

Most frequent Latin characters

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Uppercase Letter characters

Most frequent Space Separator characters

Most frequent Lowercase Letter characters

Most frequent Dash Punctuation characters

Most frequent Other Punctuation characters

Most occurring scripts

Most frequent Latin characters

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most frequent Uppercase Letter characters

Most frequent Space Separator characters

Most frequent Lowercase Letter characters

Most occurring scripts

Most frequent Common characters

Most frequent Latin characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Uppercase Letter characters

Most frequent Lowercase Letter characters

Most occurring scripts

Most frequent Latin characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Space Separator characters

Most frequent Decimal Number characters

Most frequent Other Punctuation characters

Most frequent Lowercase Letter characters

Most occurring scripts

Most frequent Common characters

Most frequent Latin characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Uppercase Letter characters